Cover Image

Solving Integrated Process Planning and Scheduling Problem via Graph Neural Network Based Deep Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Hongpei, Zhang, Han, He, Ziyan, Jia, Yunkai, Jiang, Bo, Huang, Xiang, Ge, Dongdong
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OptPipe: Memory- and Scheduling-Optimized Pipeline Parallelism for LLM Training
by: Li, Hongpei, et al.
Published: (2025)

PDHCG-II: An Enhanced Version of PDHCG for Large-Scale Convex QP
by: Li, Hongpei, et al.
Published: (2026)

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation
by: Liu, Huikang, et al.
Published: (2025)

BenLOC: A Benchmark for Learning to Configure MIP Optimizers
by: Li, Hongpei, et al.
Published: (2025)

Restarted Primal-Dual Hybrid Conjugate Gradient Method for Large-Scale Quadratic Programming
by: Huang, Yicheng, et al.
Published: (2024)

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems
by: Li, Hongpei, et al.
Published: (2026)

FMIP: Joint Continuous-Integer Flow For Mixed-Integer Linear Programming
by: Li, Hongpei, et al.
Published: (2025)

Integrated Offline and Online Learning to Solve a Large Class of Scheduling Problems
by: Liu, Anbang, et al.
Published: (2025)

Beyond Nonconvexity: A Universal Trust-Region Method with New Analyses
by: Jiang, Yuntian, et al.
Published: (2023)

Homogeneous Second-Order Descent Framework: A Fast Alternative to Newton-Type Methods
by: He, Chang, et al.
Published: (2023)

Optimization by Directional Attacks: Solving Problems with Neural Network Surrogates
by: Bouchet, Pierre-Yves, et al.
Published: (2025)

Regularized MIP Model for Integrating Energy Storage Systems and its Application for Solving a Trilevel Interdiction Problem
by: Han, Dahye, et al.
Published: (2024)

Graph Neural Networks for the Offline Nanosatellite Task Scheduling Problem
by: Pacheco, Bruno Machado, et al.
Published: (2023)

Solving Unit Commitment Problems with Graph Neural Network based Initial Commitment Prediction and Large Neighborhood Search
by: Yang, Linfeng, et al.
Published: (2025)

A Reinforcement-learning-based Column Generation Algorithm for Integrated Operating Room Planning and Scheduling
by: Dolatkhah, Mahdi, et al.
Published: (2026)

A Homogeneous Second-Order Descent Method for Nonconvex Optimization
by: Zhang, Chuwen, et al.
Published: (2022)

Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks
by: Li, Minshuo, et al.
Published: (2024)

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)

Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
by: Hoffmann, Matthias K., et al.
Published: (2025)

Solving Linear Programs with Fast Online Learning Algorithms
by: Gao, Wenzhi, et al.
Published: (2021)

Solving Inverse Problems with Deep Linear Neural Networks: Global Convergence Guarantees for Gradient Descent with Weight Decay
by: Laus, Hannah, et al.
Published: (2025)

Solve the General Constrained Optimal Control Problem with Common Integration Method
by: Zhang, Sheng, et al.
Published: (2018)

Solving Large Multicommodity Network Flow Problems on GPUs
by: Zhang, Fangzhao, et al.
Published: (2025)

Solving Unsplittable Network Flow Problems with Decision Diagrams
by: Salemi, Hosseinali, et al.
Published: (2023)

Solving the Pod Repositioning Problem with Deep Reinforced Adaptive Large Neighborhood Search
by: Xie, Lin, et al.
Published: (2025)

Solve Crude Oil Scheduling Problems by Using Quantum-Classical Hybrid Algorithms
by: Yang, Jian, et al.
Published: (2026)

An Efficient Integer Programming Model for Solving the Master Planning Problem of Container Vessel Stowage
by: van Twiller, Jaike, et al.
Published: (2024)

Applying Quantum Computing to Solve Multicommodity Network Flow Problem
by: Chence, Niu, et al.
Published: (2024)

Charge Schedule Optimization and Infrastructure Planning for Solar-Integrated Electric Bus Transit Systems
by: Baldua, Madhusudan, et al.
Published: (2025)

Learning to Solve Bilevel Programs with Binary Tender
by: Zhou, Bo, et al.
Published: (2024)

Adversarial Reinforcement Learning: A Duality-Based Approach To Solving Optimal Control Problems
by: Chen, Nan, et al.
Published: (2025)

A Graph-Based Iterative Strategy for Solving the All-Line Transmission Switching Problem
by: Aguilar-Moreno, Marina, et al.
Published: (2025)

Simulation Strategies for an Efficient Local Search to solve Stochastic Scheduling Problems
by: de Bruin, Philip, et al.
Published: (2026)

Deep Reinforcement Learning for Solving the Fleet Size and Mix Vehicle Routing Problem
by: Wan, Pengfu, et al.
Published: (2025)

A hybrid local search algorithm for the Continuous Energy-Constrained Scheduling Problem
by: Brouwer, Roel, et al.
Published: (2023)

A hybrid optimization framework for the General Continuous Energy-Constrained Scheduling Problem
by: Brouwer, Roel, et al.
Published: (2024)

Inexact Regularized Quasi-Newton Algorithm for Solving Monotone Variational Inequality Problems
by: Ye, Yuge, et al.
Published: (2025)

On Solving the Assignment Problem with Conflicts
by: Montemanni, Roberto, et al.
Published: (2025)

On Solving the Knapsack Problem with Conflicts
by: Montemanni, Roberto, et al.
Published: (2025)

A "Breathing" Mobile Communication Network
by: Ge, Chao, et al.
Published: (2024)